Measurement report triggering for inter-cell coordination in cellular deployment

ABSTRACT

A method and device for determining whether to send a measurement report to a serving cell and determining when an inter-cell coordination procedure is likely to achieve coordination gain are disclosed. According to one aspect, a method includes performing received signal quality measurements of the serving cell and a plurality of neighboring cells. The method also includes calculating a UE metric based on the received signal quality measurements of a plurality of interfering cells and based on a scaling parameter. The method further includes comparing the calculated UE metric to a threshold to determine whether to send the measurement report to the serving cell.

FIELD

This written description relates to wireless communications, and inparticular to a method and device in a wireless communication system todetermine when to trigger a user equipment (UE) measurement report andto determine when a UE will likely benefit from inter-cell coordination.

BACKGROUND

In a typical wireless cellular network, such as 3^(rd) generationpartnership project long term evolution (3GPP LTE), when deployed as asingle frequency network (SFN), the transmissions from various cells anduser equipment (UE) should be properly coordinated to maximize theoverall system capacity and coverage. A cell may be defined as acoverage area provided by one or more antennas of a base station. Eachbase station may provide coverage for a plurality of cells viaindividual cell-site equipment with a common interface to an evolvedpacket core (EPC). For example, a base station may have antennas affixedto a tower, each of one or more antennas providing coverage for adifferent geographic area or cells accessible from the tower. A cell maybe a serving cell or a neighboring cell. The serving cell is the cellfor which the UE is radio resource controlled (RRC) or currently camped,whereas neighboring cells are nearby cells. Note that some cells mayoverlap and the signals transmitted in one cell may interfere withsignals transmitted in another cell. The interfering cells may belong tothe same base station or different base stations. Thus, in cases of celloverlap, UEs may receive signals from a plurality of cells and thesesignals may interfere, especially if the signals of the different cellsare transmitted on the same frequency, which is the case for SFNs.

Inter-cell coordination procedures may be employed to improve signalquality experienced by a UE. Examples of inter-cell coordinationprocedures include inter-cell interference coordination (ICIC), downlink (DL) and up link (UL) coordinated multi-point (CoMP) transmissionand communication through dual-connectivity. These procedures have beenstudied extensively as part of the third generation partnership project(3GPP) long term evolution (LTE) advanced standardization activity. Suchprocedures shall be referred to herein collectively as inter-cellcoordination procedures. It is known that system capacity on the downlink (DL) can be improved by these procedures by constraining theinter-cell interference experienced by the UE or by increasing theuseful signal content of the signal received by the UE.

For ICIC, the radio resources are coordinated between the neighboringcells such that the inter-cell interference experienced by the mobilestation or UE is minimized. The coordination may include reducing thetransmit power or muting specified radio resources on an interferingcell. Similarly on the up link (UL), the transmissions from the UEs canbe scheduled on specific resources such that the interference at aserving cell can be reduced.

For CoMP, the transmissions from the cells can be coordinated such thatthe combined signal from these cells provides better signal quality atthe UE. Similarly, a UE transmission can be scheduled to be received atmultiple network nodes such that the received signals can be combinedcoherently to improve the received signal quality.

For dual connectivity, where a UE is allowed active association withmultiple cells at the same time, the serving cell can dynamically selectone of the cells as the serving cell to efficiently offload the data andcontrol signaling. In this case the mobility between the coordinatingcells will be very efficient.

In each of these cases, the UEs and cells which may benefit frominter-cell coordination should be identified. UEs which are at the celledge can typically obtain gains from inter-cell coordination, thusimproving cell coverage. UEs near a center of a cell may also obtaingains, thus improving cell capacity. In a cellular deployment, the areaover which a UE can be served with acceptable signal quality withouttriggering a handoff is referred to as the coverage. System capacity isanother metric can be used to measure the efficiency of a cellulardeployment and is defined as the throughput in bits per second that canbe achieved over a carrier. For example, the coverage can be specifiedby a signal to interference plus noise ratio (SINR), Γ₅, where Γ₅ isdetermined such that 5% of connected UEs experience a received SINR ofless than or equal to Γ₅, whereas system throughput can be specified bya SINR, Γ₅₀, where Γ₅₀ is determined such that 50% of connected UEsexperience a received signal to noise ratio of less than Γ₅₀. Theidentification of UEs that may benefit from inter-cell coordination maybe based on measurement reports sent to a base station by a UE.Generation and transmission of a measurement report from a UE may bebased on measured signal quality received by the UE from neighboringcells.

Ideally, the number of measurement reports from a UE should be triggeredby an event such that bandwidth consumption on the uplink from the UE toa serving cell is minimized. Further, the event that triggerstransmission of a measurement report should be such that transmission ofthe measurement report occurs only if the UE can benefit from aninter-cell coordination technique.

In existing long term evolution (LTE) standards, the user equipment (UE)makes measurements of signal quality of signals received from aplurality of neighboring cells. The measurements are triggered based onnetwork defined events. A list of such events is predefined in thestandards, using reference signal received power (RSRP) and referencesignal received quality (RSRQ). For example, the following RSRP-basedmetric can be used to trigger a measurement report:Γ=(R _(l) −R ₀)>η  (1)where R_(o) is the RSRP of the serving cell and R₁ is the RSRP of thestrongest interfering cell, as these two parameters are measured at theUE. The threshold, η, is set to regulate the number of reports sent by aUE. When the difference between R₁ and R_(o) is below the threshold, η,the UE reports the RSRP measurements of R_(o) and an ordered list ofRSRPs of a predetermined number of neighbor cells to the serving cell.The number of RSRPs of the neighbor cells is configured by the servingcell. The RSRPs of the neighbor cells are ordered in decreasing order ofRSRP. The UE may also report RSRQs of the serving and neighbor cells, asspecified in the serving cell's measurement report configuration. Forinter-cell coordination, the threshold, η, may be set to a negativevalue to ensure that the decision to perform inter-cell coordinationdoes not interfere with a handover decision. Note that the above metricmay be modified using RSRQ instead of RSRP. However, the performanceresults follow the same trend since RSRQ can be interpreted as a scaledversion of the RSRP. Herein, RSRP measurements and RSRQ measurementswill be referred to as signal quality measurements. As specified in the3GPP TS 36.331: Radio Resource Control specification, other parameterssuch as hysteresis, frequency and neighbor cell specific offsets canalso be included in the metric computed at the UE.

As depicted in FIG. 1, the inter-cell coordination region 2 may betriggered whenever the RSRP with respect to the neighbor cell is withinη deci-Bels (dB) of the RSRP with respect to the serving cell. Themargin, η, determines the number of measurement events reported by theUEs to the serving cell. The inter-cell coordination can be extendeduntil the handover is triggered, i.e., inter-cell coordination can beoperational when the RSRP of a neighbor cell is within [R₀−η_(H), R₀+η],where η_(H) represents the RSRP threshold for handover. FIG. 2 showsresults of gain in geometry that can be obtained at the UE by enablingan inter-cell coordination process, e.g., muting the radio resourcesfrom the dominant interfering cells. The term “geometry” is a term ofart that relates to long term signal to interference plus noise ratio(SINR) when all cells are transmitting at a constant power level. A gainin geometry is related to a gain in SINR.

The cumulative distribution functions (CDF) shown in FIG. 2 expectedlydemonstrate that there is significant gain by muting the dominantinterfering cells. Curve number 4 is the CDF when there is no ICIC,solid curves numbered 6 are the CDF for one, two and three interferersusing limited feedback, i.e., when the threshold, η, is used to limitmeasurement reports from the UEs. The dashed curves numbered 8 are theCDF for one, two and three interferers suppressed using 100% feedback,i.e., when the measurements reports are sent periodically from all UEswithout restriction. Note that the gains obtained by limited measurementfeedback (curves numbered 6) are confined to the lower geometry region.In the simulation results of FIG. 2, η is set to 4 dB, which correspondsto 25-30% UE measurement feedback. Therefore, it is evident that thecurrently defined triggering event of equation 1, may be ideally suitedfor handoff decisions—such as identifying UEs experiencing inferiorchannel conditions—but is less desirable for triggering inter-cellcoordination. Thus, events defined by current LTE standards may generateunnecessary measurement reports and/or the reported measurements may notbe useful to exploit the full benefits of inter-cell coordination.

SUMMARY

The present invention advantageously provides a method and system fordetermining whether to send a measurement report to a serving cell anddetermining when an inter-cell coordination procedure is likely toachieve coordination gain. According to one aspect, a method includesperforming received signal quality measurements of the serving cell anda plurality of neighboring cells. The method also includes calculating aUE metric based on the received signal quality measurements of aplurality of interfering cells and based on a scaling parameter. Themethod further includes comparing the calculated UE metric to a UEthreshold to determine whether to send the measurement report to theserving cell.

According to this aspect, in some embodiments, the method furtherincludes determining a dominant interfering cell based on the performedreceive signal quality measurements. In some embodiments, determiningthe dominant interfering cell comprises finding a neighbor cell with thebest received signal quality among all the interfering cells. In someembodiments, the method further includes receiving the scaling parameterat the UE from a serving cell. In some embodiment, the method furtherincludes receiving the UE threshold at the UE from the serving basestation. In some embodiments, performing the received signal qualitymeasurement comprises measuring a reference signal received power, RSRP.

In some embodiments, performing the received signal quality measurementcomprises measuring a reference signal received quality, RSRQ. In someembodiments, the UE metric is calculated based on the received signalquality measurements of the plurality of interfering cells bycalculating: a first difference between a received signal quality of aserving cell and a received signal quality of a dominant interferingcell; and a second difference between the received signal quality of theserving cell and a combined receive signal quality aggregated from theplurality of interfering cells. In these embodiments, the UE metric mayfurther be calculated by calculating an algebraic sum of the firstdifference multiplied by the scaling parameter and the second differencemultiplied by one minus the scaling parameter. The first difference andthe second difference may be expressed in logarithmic scale.

In some embodiments, the combined received signal quality is measured asthe linear sum of reference signal received powers, RSRP, measured withrespect to all neighbor cells operating on a same carrier frequency asthe serving cell. In some embodiments, the combined received signalquality is measured as the received signal strength indicator, RSSI. Insome embodiments, configuration information of the interfering cells isreceived by the UE from the serving cell. In some embodiments, themetric is calculated based on the received signal quality measurementsof the plurality of interfering cells by calculating: a first differencebetween a received signal quality of a serving cell and a combinedreceived signal quality of a predefined number of dominant interferingcells; and a second difference between the received signal quality ofthe serving cell and a combined received signal quality aggregated fromthe plurality of interfering cells. The predefined number of dominantinterfering cells may be set by the serving cell. In some embodiments,the method further includes sending the measurement report when the UEmetric exceeds the UE threshold.

According to another aspect, embodiment include a UE configured todetermine whether to send a measurement report to a serving cell. The UEincludes a communication interface configured to transmit a measurementreport to the serving cell and to receive a scaling parameter and a UEthreshold from the serving cell. The UE also includes a memoryconfigured to store the scaling parameter and the UE threshold receivedfrom the serving cell. The UE also includes computational circuitry inoperative communication with the memory and the communication interface.The computational circuitry is configured to perform received signalquality measurements of a plurality of neighboring cells and determinewhich of the neighboring cells is a dominant interfering sell based onthe performed signal quality measurements. The computational circuitryalso includes circuitry to calculate a UE metric based on measuredsignal qualities of the neighboring cells, including the signal qualityof the dominant interfering cell, and the received scaling parameter.The computational circuitry is also configured to compare the UE metricto the UE threshold to determine whether to send the measurement reportto the serving cell using the communication interface.

According to this aspect, in some embodiments, calculating the UE metricbased on the measured signal quality measurements includes calculating afirst comparison of a signal quality of the serving cell and a signalquality of a dominant interfering cell to determine a first difference.Calculating the UE metric also includes calculating a second comparisonof the signal quality of the serving cell to a combination of signalqualities from a plurality of interfering neighboring cells to determinea second difference. Calculating the UE metric further includescomparing the first difference to the second difference. In someembodiments, the UE metric calculated by the UE is given by:

$\beta_{dB} = {{\alpha\left( {R_{l_{dB}} - R_{o_{dB}}} \right)} + {\left( {1 - \alpha} \right)\left( {R_{o_{dB}} - {10\;{\log_{10}\left( {\sum\limits_{i = 1}^{N - 1}R_{i}} \right)}}} \right)}}$where α is the scaling parameter, R_(ldB) is the signal quality of thedominant interfering cell, R_(odB) is the signal quality of the servingcell, and R_(i) is the signal quality of the dominant interfering cell.In some embodiments, the computational circuitry is further configuredto cause the communication interface to send the measurement report tothe base station if the metric is more than the UE threshold.

According to another aspect, a UE is provided that includes acommunication interface, a processor and a memory. The communicationinterface is configured to transmit a measurement report to a servingcell and to receive a scaling parameter and a UE threshold from theserving cell. The processor is configured to execute softwareinstructions stored in the memory. The memory is in communication withthe processor and is configured to store the scaling parameter, the UEthreshold and a plurality of software modules. The software modulesinclude an interference cell determiner module having instructions that,when executed by the processor, cause the processor to: perform receivedsignal quality measurements of a plurality of neighboring cells; anddetermine cells that are interfering cells based on the performed signalquality measurements. The software modules also include a metriccalculator module having instructions, that when executed by theprocessor, cause the processor to: calculate a first value based on afirst scaling parameter, a signal quality of a serving cell, and asignal quality of a dominant interfering cell; calculate a second valuebased on a second scaling parameter, the signal quality of the servingcell and a sum of the signal qualities of the interfering cells; andcalculate a sum of the first value and the second value. The softwaremodules also include a metric comparator module having instructionsthat, when executed by the processor, cause the processor to compare thesum to a UE threshold to determine whether to send a measurement reportfrom the UE.

According to this aspect, in some embodiments, the processor is furtherinstructed by the instructions of the metric calculator module tocalculate the first value as the first scaling parameter times a ratioof the signal quality of the serving cell to the signal quality of thedominant interfering cell. In some embodiments the processor isconfigured to calculate the second value as the second scaling parametertimes a ratio of the signal quality of the serving cell to the sum ofsignal qualities of interfering cells. In some embodiments, the secondscaling parameter is set to one minus the first scaling parameter.

BRIEF DESCRIPTION OF THE DRAWINGS

A more complete understanding of the present invention, and theattendant advantages and features thereof, will be more readilyunderstood by reference to the following detailed description whenconsidered in conjunction with the accompanying drawings wherein:

FIG. 1 is a graph of an inter-cell coordination region specified by athreshold;

FIG. 2 is a graph of cumulative distribution functions (CDF) showinggains in geometry with the application of inter-cell coordinationprocedures;

FIG. 3 is a block diagram of a wireless communication system configuredto compute metrics according to principles of embodiments describedherein;

FIG. 4 is a graph of CDF showing gains in geometry with the applicationof inter-cell coordination procedures using metrics according toprinciples of embodiments described herein;

FIG. 5 is a block diagram of one embodiment of a user equipment (UE)configured to compute a UE metric for determining whether to send ameasurement report;

FIG. 6 is a block diagram of another embodiment of a UE configured tocompute a UE metric for determining whether to send a measurementreport;

FIG. 7 is a flowchart of an exemplary process for computing a UE metricand determining whether to send a measurement report from a UE to theserving cell of a base station;

FIG. 8 is a more detailed flow diagram of an exemplary process forcomputing a UE metric and determining whether to send a measurementreport from the UE to the serving cell of the base station;

FIG. 9 is a block diagram of one embodiment of a base station configuredto determine whether to perform an inter-cell coordination procedure;

FIG. 10 is a block diagram of another embodiment of a base stationconfigured to determine whether to perform an inter-cell coordinationprocedure;

FIG. 11 is a flowchart of an exemplary process for computing a combinedmetric and comparing the combined metric to a serving cell threshold todetermine whether to perform an inter-cell coordination procedure; and

FIG. 12 is a more detailed flow diagram of an exemplary process forcomputing a combined metric and comparing the combined metric to aserving cell threshold to determine whether to perform an inter-cellcoordination procedure.

DETAILED DESCRIPTION

Before describing in detail exemplary embodiments that are in accordancewith the present disclosure, it is noted that the embodiments resideprimarily in combinations of apparatus components and processing stepsrelated to determining when to trigger a UE measurement report so thatthe UE will benefit from inter-cell coordination and determining wheninter-cell coordination would likely result in improved performance.Accordingly, the device, system and method components have beenrepresented where appropriate by conventional symbols in the drawings,showing those specific details that are pertinent to understanding theembodiments of the present disclosure.

As used herein, relational terms, such as “first” and “second,” “top”and “bottom,” and the like, may be used solely to distinguish one entityor element from another entity or element without necessarily requiringor implying any physical or logical relationship or order between suchentities or elements.

Embodiments described herein provide a mechanism for determining when totrigger a UE measurement so that a number of measurement reportstransmitted from the UE are limited and so that a measurement report issent by the UE, ideally, only when the UE will likely benefit from aninter-cell coordination technique. To achieve these features, a servingcell may send a scaling parameter and a UE threshold to one or more UEs.The scaling parameter and UE threshold can be broadcast to all UEswithin a coverage area or by transmitting a UE-specific radio resourcecontrol (RRC) message directly to one or more UEs. If the UE-specificRRC message is used, the scaling parameter and threshold can be specificto the UE.

Upon receiving the scaling parameter and UE threshold from the servingcell, a UE may start checking the metric for a specified event from themeasured received signal quality—for example, RSRP or RSRQ—from theserving cell and interfering neighbor cells. A UE metric described belowis computed by the UE based on the scaling parameter and measured signalqualities. This UE metric is compared to the UE threshold. When the UEmetric becomes greater than the UE threshold, the UE measurements of thesignal qualities are transmitted from the UE to the serving cell. Bychoosing the UE metric as described below, the number of measurementreports sent by the UE is limited, to conserve bandwidth, and are sentideally, only when it is likely that the UE will benefit from inter-cellcoordination, to conserve processing resources and bandwidth.

Note that the new metric computed by the UE in some embodimentsdescribed herein is different from the known metric given above inequation 1, because the new metric is based on the received signalqualities of multiple interfering neighbor cells and the scalingparameter, whereas the known metric is based only on the signal qualityof the serving cell and a single dominant interferer.

In some embodiments, a known metric may be used at the UE to determinewhether to send a measurement report but a new metric is computed at theserving cell to determine whether an inter-cell coordination procedurewould be beneficial. This metric may be based on an estimated signal tointerference plus noise ratio (SINR). The combination of the metriccomputed at the UE and the metric computed at the base station iscompared to a serving cell threshold to determine whether to proceedwith the inter-cell coordination procedure. An advantage of thisembodiment is that no modifications to the standard specifications tothe UE are required, and yet the serving cell is able to distinguishwhen inter-cell coordination would be beneficial.

In this written description, the metric computed at the UE will bereferred to as the UE metric and a metric computed at the base stationwill be referred to as the serving cell metric. A combination metric mayalso be computed at the base station that is the combination of the UEmetric and the serving cell metric. Also, the threshold to which the UEmetric is compared at the UE is referred to as the UE threshold. Thethreshold to which the combined metric is compared is referred to as theserving cell threshold.

Returning now to the drawing figures, where like reference designatorsrefer to like elements, there is shown in FIG. 3 a wirelesscommunication system 10 that includes a network 12, which may include abackhaul network that includes third generation partnership project(3GPP) defined packet core (PC) or evolved packet core (EPC) network,the Internet and/or the public switched telephone network (PSTN). Thesystem 10 includes a plurality of base stations 14 a and 14 b, referredto herein collectively as base stations 14, that are in communicationwith the network 12 via a wireline or wireless interface, and are incommunication with a plurality of UEs such as UEs 16 a and 16 b,referred to herein collectively as UEs 16. Although only two basestations 14 and two UEs 16 are shown for ease of explanation, a typicalwireless communication system 10 will have many more than two basestations and many more than two UEs. The UEs 16 may typically includemobile stations such as mobile phones. The base stations 14 aretypically stationary and provide the communications links between thenetwork 12 and the UEs 16. Each base station 14 may serve one or morecells. For example, the base station 14 a serves cells C1 and C2,whereas the base station 14 b serves cells C3 and C4. Although only twocells per base station are shown for clarity, each base station mayserve any number of cells. Note that there is some overlap between cellsC1 and C2, served by the same base station 14 a. There is also someoverlap between cells C1 and C3 served by base station 14 a and 14 b,respectively.

To mitigate interference, inter-cell coordination procedures, such asICIC, CoMP and/or dual connectivity, may be employed to improve thesignal quality experienced by the UE. In some embodiments, a measurementreport and whether to send the measurement report from a UE such as UE16 a to a serving cell of a base station 14 a may be determined at theUE 16 based on a UE metric computed by a UE metric calculator (MC).Accordingly, each UE 16 a and 16 b has a UE metric calculator 18 a and18 b, respectively, referred to herein collectively as UE metriccalculators 18. The UE metric calculator 18 may be implemented bydedicated computational circuitry or by a processor operating under thedirection of programmatic software. In this written description, cell C1shall be considered a serving cell of UEs 16 a and 16 b, and cells C2-C4shall be considered non-serving, neighboring or interfering cells.

The base station 14 a, which serves serving cell C1, may include aserving cell metric calculator 20, which may be implemented by dedicatedcomputational circuitry or by a processor operating under the directionsof one or more software modules. In some embodiments, the serving cellmetric calculator 20 calculates a serving cell metric that is used todetermine, based on the measurement report sent from the UE 16 and basedon uplink (UL) signal quality measurement reports received from thebenefit the UE 16. Note that the interfering cells may be cells servedby the same base station or by base stations connected by an X2interface or proprietary interface.

In some embodiments, a measurement report and whether to send themeasurement report from a UE such as UE 16 a to a serving cell of basestation 14 a may be determined at the UE 16 based on a UE metriccomputed by a UE metric calculator (MC). Further, the metric calculator20 calculates a metric that is used to determine, based on themeasurement report sent from the UE 16 and up link (UL) signal qualitymeasurement reports received from the neighbor or interfering cells,whether an inter-cell coordination procedure will likely benefit the UE16. In this case, the metric calculated at MC 20 may determine whetheror not the inter-cell coordination is enabled by considering both thedownlink (DL) and UL measurement reports.

The UE metric computed by the UE metric calculator 18 and used by the UE16 to determine whether to send a measurement report to the serving cellC1 of the base station 14 a, is based on a scaling parameter sent viathe serving cell C1, and is further based on received signal qualitymeasurements of a plurality of interfering cells C2, C3 and C4.

In cases using known or existing events, as specified by existingstandards, to trigger measurement reporting, a check on the gain thatcan be achieved by inter-cell coordination cannot be determined untilafter the UE has reported its signal quality measurements to the servingcell. This may result in many UE reports being made that will not leadto an increase in coordination gain for a particular reporting UE,thereby wasting bandwidth and processing resources. What is describedherein is a metric calculable at the UE 16 that will determine not onlywhen to send a measurement report but will also be indicative of whetheran inter-cell coordination procedure would likely improve communicationwith the UE 16.

The DL geometry can be expressed using the measured signal qualities ofone or more interfering cells, e.g., the cells C2-C4. Note that the term“signal quality” may refer to one or the other of RSRP and RSRQ. Thoughthis written description describes existing measurement metrics such as,RSRP, RSRQ or CQI reports, in general, any quantity which can representthe received signal quality may be used In terms of RSRP, the DLgeometry may be expressed as follows:

$\begin{matrix}{\gamma_{o} = \frac{R_{0}}{{\sum\limits_{i = 1}^{N - 1}R_{i}} + N_{o}}} & (2)\end{matrix}$where R_(o) is the RSRP of the serving cell e.g., cell C1 measured atthe UE and R_(i) is the RSRP of the i^(th) interfering cell measured atthe UE. N_(o) is noise. Letting R₁ be the RSRP of the dominantinterfering cell (the neighbor cell having the highest measured RSRP ofall the neighbor cells), and suppressing the RSRP of the dominantinterfering cell, the DL geometry can be expressed as:

$\begin{matrix}{\gamma_{l} = \frac{R_{o}}{{\sum\limits_{i = 1}^{N - 1}R_{i}} + N_{o} - R_{l}}} & (3)\end{matrix}$The gain in DL geometry achieved by suppressing the dominant interferingcell's signal can be expressed in decibels (dB) as:

$\begin{matrix}{\gamma_{l\_{dB}} = {\gamma_{o\_{dB}} + {10\;\log_{10}\frac{{\sum\limits_{i = 1}^{N - 1}R_{i}} + N_{o}}{{\sum\limits_{\underset{i \neq l}{i = 1}}^{N - 1}R_{i}} + N_{o}}}}} & (4)\end{matrix}$Clearly, the DL geometry gain achieved by suppressing the RSRP of thedominant interfering cell is dependent not only on the RSRP of thedominant interfering cell, but is also dependent upon the RSRPs of allother interfering cells. Thus, the expected gain is dependent on thenumber of interfering cells as well as their relative signal strengths.

Equation 4 can be expressed as follows:γ_(l) _(_) _(dB)=γ₀ _(_) _(dB)−10 log₁₀(1−β)  (5)where

$\begin{matrix}{\beta = \frac{R_{l}}{{\sum\limits_{i = 1}^{N - 1}R_{i}} + N_{o}}} & (6)\end{matrix}$and where β is between 0 and 1 inclusive. As evident from thisformulation, the gain in geometry by muting the dominant interferingcell is

$\Delta = {\frac{1}{1 - \beta}.}$The gain increases as β approaches 1. For example, if there is only oneinterferer, β becomes

$\frac{R_{l}}{R_{l} + N_{o}}.$The asymptotic geometry gain in the case of one interferer is

$\left( {1 + \frac{R_{l}}{N_{o}}} \right).$The term β, in dB, can be expressed as:β_(dB)=(R _(l) _(dB) −R _(o) _(dB) )+γ₀ _(_) _(dB)  (7)

From the above equation it can be seen that the difference between thesignal quality of the dominant interfering cell and the signal qualityof the serving cell should be as close as possible to the geometry γ₀_(_) _(dB) to obtain the best inter-cell coordination gain. Thecloseness of the term (R_(l) _(dB) −R₀ _(dB) ) to the term γ₀ _(_) _(dB)provides a measure of the effectiveness of a given inter-cellcoordination procedure upon system capacity and coverage.

In known implementations, the term (R_(l) _(dB) −R₀ _(dB) ) is comparedwith a fixed threshold. This is referred to in the LTE standards as anRSRP-based A3 event. In these known implementations, the inter-cellcoordination gain is limited to an average SNR or geometry specified bythe A3 threshold. For example, if the A3 threshold is −3 dB, theinter-cell coordination gain is limited to the UEs which experience ageometry of −3 dB or less.

Thus, in some embodiments, a new UE metric is computed as:β_(dB)=(R _(l) _(dB) −R ₀ _(dB) )+γ₀ _(_) _(dB)<η_(dB)  (8)where η_(dB) is a UE threshold. In the above equation, R_(l) can be theRSRP from one interfering cell or multiple interfering cells. In someembodiments, the serving cell may specify the number of interferingcells to be considered by the UE. The number of interfering cells to beconsidered may be sent by a broadcast message or an RRC message. This UEmetric may be calculated by the UE metric calculator 18 of the UE 16.FIG. 4 is a graph of CDFs showing gains in geometry with the applicationof inter-cell coordination procedures using metrics according to someembodiments described herein. FIG. 4 shows CDFs for no interferencecoordination, (curve 22), coordination gain with limited feedback usingthe metric of equation 8 for one, two and three suppressed interferers,(solid line curves 24), and coordination gain with 100% feedback forone, two and three suppressed interferers, (dashed line curves 26). Notethat the gain increases as the number of interferers that are suppressedincreases. In simulations depicted by FIG. 4, the threshold η_(dB) isset to −4 dB to limit the measurement reports to about 30%. Clearly, thegain in geometry is high at high SINRs. At low SINRs, the gain ingeometry for limited feedback is low due to the non-availability of UEfeedback.

The UE can measure the parameter β_(dB) and compare it to a networkdefined UE threshold, η, and then report the measurement results to theserving cell when β_(dB) exceeds the UE threshold η. This event can bedefined as:β_(dB) =R _(l) _(_) _(dB)−10 log₁₀(Σ_(i=1) ^(N−1) R _(i) +N ₀)>η  (9)which expresses the UE metric as the signal quality, R_(l), of thedominant interferer minus the signal qualities of all other interferers.Ignoring the noise term, N₀, the term β_(dB) can be expressed as:β_(dB) ≅R _(l) _(_) _(dB)−10 log₁₀(Σ_(i=1) ^(N−1) R _(i))  (10)Thus, in some embodiments, the UE 16 may be configured to perform thefollowing steps:

-   -   (a) Make signal quality measurements of N interferers;    -   (b) Calculate the ratio of signal quality of the most dominant        interferer or interferers to the total interference power level;    -   (c) Compare the ratio to a UE threshold; and    -   (d) Report the measurements to the serving cell if the ratio        exceeds the UE threshold.

Note that the UE threshold η may always be negative when expressed indB. The UE threshold can be determined at the base station 14 a andtransmitted to the UE 16 by broadcast or as an RRC message to the UE 16.The UE threshold may be chosen to regulate a ratio of a number ofreporting UEs to a number of served UEs. Also, the number N ofinterferers whose signal qualities are to be used in calculation of themetric may be specified by the serving cell of the base station 14 a.Typically the number of interfering cells, N, to be considered inevaluating the UE metric is dependent on the cell deployment scenario.For example in a dense deployment, i.e., where many cells are deployedin a geographical area, a large number of interfering cells may beconsidered to evaluate the UE metric.

As an alternative to equations 8, 9 and 10, the metric β can also becomputed using the received signal strength indicator (RSSI) as follows:

$\begin{matrix}{\beta = \frac{R_{l}}{{RSSI} - R_{o}}} & (11)\end{matrix}$The RSSI is measured by the UE and is an indicator of the power presentin the received signals.

A composite UE metric can be used for achieving a tradeoff betweensystem coverage and system capacity. This composite metric may beexpressed as follows:β_(dB)=α(R _(l) _(dB) −R ₀ _(dB) )+(1−α)(R ₀ _(dB) −10 log₁₀(Σ_(i=1)^(N−1) R _(i)))  (12)In equation 12, a is a scaling parameter sent from the serving cell ofthe base station 14 a to the UE 16. The scaling parameter may beassigned a value between 0.5 and 1.0. The value of 0.5 provides bettersystem capacity, whereas the value of 1.0 provides better systemcoverage. The event defined by β exceeding a UE threshold may be used totrigger the UE 16 to send a measurement report. Alternatively, or inaddition, β may be computed at the serving cell of the base station 14 ato determine a candidate interfering cell. For example, the serving cellmay compute the metric of equation 12 from the reported measurementsfrom the UE to determine a candidate interfering cell or cells which cancoordinate with the serving cell to offer better signal quality at theUE.

Note that the composite metric of equation 12 can be used in the case ofjoint transmission, i.e., CoMP. Thus, when the same information istransmitted from the serving call and the coordinating cell, theexpected gain in geometry can be expressed as follows:

$\begin{matrix}{\gamma_{l} = \frac{R_{o} + R_{l}}{{\sum\limits_{i = 1}^{N - 1}R_{i}} + N_{o} - R_{l}}} & (13)\end{matrix}$which can be expressed in dB as:

$\begin{matrix}{\gamma_{l\_{dB}} = {\gamma_{o\_{dB}} + {10\;{\log_{10}\left( {1 + \frac{R_{l}}{R_{o}}} \right)}} + {10\;{{\log_{10}\left( \frac{1}{1 - \beta} \right)}.}}}} & (14)\end{matrix}$Therefore, the same event as in equation 12 will suffice for determiningwhether to send a measurement report for joint transmission as well. Thesecond term in equation 14 indicates the additional gain offered by thejoint transmission.

Returning now to the drawing figures, there is shown in FIG. 5 a blockdiagram of one embodiment of a UE 16 configured to calculate a UE metricand determine whether to send a measurement report. The UE 16 includes acommunication interface 28, a memory 30 and computational circuitry 32.The communication interface 28 includes a transmitter 34 and a receiver36. The receiver 36 is configured to receive a scaling parameter and aUE threshold from the serving cell. The receiver 36 is also configuredto receive signals from the serving cell and neighboring cells. Thetransmitter 34 is configured to transmit a measurement report to theserving cell. The memory 30 is configured to store the scaling parameter38 and the UE threshold 40. The computational circuitry 32 is incommunication with the memory 30 and the communication interface 28. Thecomputational circuitry 32 includes signal quality measurement circuitry42 to perform measurements of received signal quality of the neighboringcells and to determine which one of the neighboring cells is thedominant interfering cell.

The computational circuitry 32 also includes the UE metric calculator 18which calculates the UE metric β according to one of equations 8-12. Forexample, the UE metric calculator 18 can compute the UE metric ofequation 12 based on the signal qualities of the neighboring cells andbased on the scaling parameter 38. The UE metric calculator 18 maycalculate the UE metric by calculating a first comparison of a signalquality of the serving cell expressed in dBm or dB with the signalquality of the dominant interfering cell expressed in dBm or dB todetermine a first difference. The UE metric calculator 18 may alsocalculate a second comparison of the signal quality of the serving cellin dBm or dB to a linear sum or combination of signal qualities from aplurality of interfering neighboring cells plus thermal noise expressedin dBm or dB, to determine a second difference. The closer the firstdifference is to the second difference, the more likely the UE 16 willbenefit from an inter-cell coordination procedure.

The computational circuitry 32 also includes a metric comparator 44configured to compare the metric calculated by the UE metric calculator18 to the UE threshold 40 to determine whether to send a measurementreport to the serving cell using the communication interface 28. By onlysending the measurement report when the UE metric exceeds the UEthreshold, bandwidth is conserved, and inter-cell coordinationprocedures may be applied only when such procedures are likely tobenefit the UE 16, thereby conserving processing power.

FIG. 6 is a block diagram of an embodiment of the UE 16 that uses aprocessor 46 to execute software instructions of a plurality of softwaremodules stored in the memory 30. The software modules include aninterference cell determiner module 48 that includes instructions that,when executed by the processor 46, cause the processor to performreceived signal quality measurements of a plurality of neighboring cellsand determine cells that are interfering cells based on the performedsignal quality measurements.

A UE metric calculator module 50 includes instructions that, whenexecuted by the processor 46, cause the processor to calculate a firstvalue based on a first scaling parameter 38, a signal quality of aserving cell, and a signal quality of a dominant interfering cell. TheUE metric calculator module 50 also includes instructions that, whenexecuted by the processor 46, cause the processor to calculate a secondvalue based on a second scaling parameter, the signal quality of theserving cell and a sum of the signal qualities of the interfering cells.The processor 46 is also caused by the instructions of the UE metriccalculator module 50 to calculate a sum of the first value and thesecond value to obtain the UE metric.

The software modules stored in the memory 30 also include a metriccomparator module 52 having instructions that, when executed by theprocessor, cause the processor 46 to compare the UE metric to a UEthreshold to determine whether to send a measurement report from the UE.By using software executed by a processor to perform the variousfunctions of the software module instructions, the UE can easily bereprogrammed at a time of manufacture to compute different UE metrics asdesired.

FIG. 7 is a flowchart of an exemplary process performed by the UE forcomputing a UE metric and determining whether to send a measurementreport from the UE 16 to the serving cell C1 of the base station 14 a.Signal quality measurements are performed on the signals received fromthe serving cell C1 and from a plurality of neighboring cells, e.g.,cells C2 and C3 (block S100). A UE metric is calculated based on thereceived signal quality measurements of a plurality of interfering cellsand based on a scaling parameter (block S102). The calculated UE metricis compared to a UE threshold to determine whether to send a measurementreport to the serving cell (block S104).

FIG. 8 is a more detailed flow diagram of an exemplary process forcomputing a UE metric and determining whether to send a measurementreport from the UE 16 to the serving cell of the base station 14 a. Abroadcast signal or an RRC signal is sent to the UE 16 from the basestation 14 a via the serving cell C1 that specifies a scaling parameterand a UE threshold for the defined event (S107). For example, when thenetwork operator wants to enable inter-cell coordination, the servingcell will transmit the broadcast message or the UE-specific RRC messageindicating the event identity. The event identity may define the UEmetric to measure and the corresponding scaling parameter and UEthreshold. In some embodiments, the events and corresponding metrics maybe defined by applicable standards. The UE 16 measures signal quality,which may be, in some embodiments, RSRP, for N neighbor cells (S108).The number N of neighbor cells may be specified by the base station 14 avia the serving cell C1. The UE 16 computes the difference of signalqualities in dB between the serving cell and the most dominantinterfering cell (S110) as follows:A=(R _(l) _(dB) −R ₀ _(dB) )In some embodiments, the difference between the signal quality of theserving cell expressed in dBm or dB and a linear sum of signal qualitiesof a number of predefined dominant cells expressed in dBm or dB may becomputed. The predefined number may be specified by the serving cell.The dominant interfering cell may be determined by determining thelargest signal quality of the neighboring cells. The UE also computesthe difference in dB between the signal quality of the serving cellsignal and the sum of the signal qualities of the signals from all ofthe interfering cells (S112) as follows:

$B = {R_{o_{dB}} - {10\;{\log_{10}\left( {\sum\limits_{i = 1}^{N - 1}R_{i}} \right)}}}$The scaled sum of the metrics computed in S110 and S112 is compared to apredetermined threshold as follows:αA+(1−α)B>ηIf the UE metric is greater than the UE threshold (S114), themeasurement is sent to the serving cell (S115).

Persons of skill in the art will readily recognize that computingdifferences of logarithms of two quantities is equivalent to computingthe ratio of those two quantities. Thus, in some embodiments, the UE 16calculates a ratio of the signal quality received from a serving cell tothe signal quality received from a dominant interfering cell. Similarly,the UE 16 may calculate a ratio of the received signal quality of theserving cell to the total received signal qualities of all cells in theneighborhood including the serving cell. The UE 16 may then compute a UEmetric by scaling and adding the two power ratios.

By comparing the UE metric to a UE threshold to determine whether tosend a measurement report, the number of measurement reports sent by theUEs 16 is reduced, thereby conserving bandwidth. Also, when the servingcell receives a measurement report, the serving cell implicitlydetermines that an inter-cell coordination procedure with respect to theUE 16 sending the report is likely to achieve coordination gain.Conversely, when the UE 16 does not send a report, the inter-cellcoordination procedure may not be performed, thereby conservingprocessing resources and UL radio resources.

Another method for determining when inter-cell coordination would bebeneficial may be employed which conforms to the standards and which donot involve defining a new event at the UE 16. The method may be appliedwhen the interfering cells are all served by the same base station 14 athat serves the serving cell or when the interfering cells are served bya base station 14 b connected to the base station 14 a of the servingcell by an X2 interface or proprietary interface. This alternativemethod may employ a technique to identify cell edge UEs which maybenefit by inter-cell coordination using the already-defined A3 eventdiscussed above and by identifying non-cell-edge UEs that can benefit byinter-cell coordination by the serving cell with the help of ULmeasurements made by neighbor cells. The UL measurements consist of ULsignal quality measured over the UL transmissions of the UE. Thecombined metric can be calculated at the serving cell or base station todetermine whether to apply an intra-node inter-cell coordinationtechnique.

Referring to equation 12, the first term on the right of the equal signis the A3 event scaled by the scaling parameter, a. The second term,which serves to determine whether increased capacity can be achieved byinter-cell coordination, can be estimated by the serving cell, when allof the interfering cells to be considered are serviced by the same basestation that serves the serving cell. That is, if the inter-cellcoordination is restricted to the cells of the common base station ofthe serving cell, the uplink UL measurements performed at the cells canbe used to estimate the second term. For example, the cells of the basestation can measure the UL sounding reference signal (SRS) signalquality transmitted by the UEs served by the serving cell and share themeasurements with other cells of the base station or with the cells of abase station connected by an X2 or proprietary interface.

To this end, equation 12 can be re-written as follows:β_(dB)=α(R _(l) _(dB) −R ₀ _(dB) )+(1−α)(S ₀ _(dB) −10 log₁₀(Σ_(i=1)^(N−1) S _(i)))  (15)

where S₀ _(dB) is the SRS signal quality measured at the serving cell indB and S_(i) is the SRS signal quality measured at the i^(th)non-serving cell. In particular, S_(i) may be the quality of a receivedSRS signal transmitted by the UE as measured by the i^(th) neighborcell. The first term on the right may be the A3 metric or another metricscaled by the scaling parameter, α, computed by the base station or insome embodiments, calculated at the serving cell based on measurementreports sent to the serving cell by the UE. These measurement reportsmay include the RSRP of the serving cell and of the dominant interferingcell.

The first term on the right may be computed by the serving cell based onthe measurement reports received from the UE as the difference betweenthe signal quality of the serving cell expressed in dBm or dB and asignal quality of a dominant cell expressed in dBm or dB. In someembodiments, the first term on the right may be computed by the servingcell based on the measurement reports received from the UE as thedifference between the signal quality of the serving cell expressed indBm or dB and a linear sum of signal qualities of a number of predefineddominant cells expressed in dBm or dB. The predefined number may bespecified by the serving cell.

The second term on the right can be calculated at the base station ofthe serving cell by summing the SRS signal qualities measured by thecells of the same base station and/or another base station connected byan X2 or proprietary interface. This second term can be interpreted asan estimate of the signal to interference ratio (SIR) expected to beexperienced by the UE.

Note that the first term on the right is a UE metric that may becalculated by the UE metric calculator 18 at the UE 16 or may becalculated by the base station, and the second term on the right is aserving cell metric that may be calculated by the serving cell metriccalculator 20 at the base station. According to another embodiment, thefirst term in equation 15 can also be computed based on the uplinkmeasurements as (S_(l) _(dB) −S₀ _(dB) ). That is, the first term on theright may be computed by the base station based on the measurementreports received from the serving cell and the neighbor cells as thedifference between the received signal quality of a signal transmittedby the UE at the serving cell expressed in dBm or dB and a signalquality of a dominant cell expressed in dBm or dB. In some embodiments,the first term on the right may be computed by the base station based onthe measurement reports received from the serving cell and the neighborcells as the difference between the received signal quality of atransmitted signal from the UE at the serving cell expressed in dBm ordB and a linear sum of received signal qualities of a transmitted signalfrom the UE at a number of predefined dominant cells expressed in dBm ordB. The predefined number may be specified by the serving cell.

The combination of these two terms is referred to herein as the combinedmetric. For the neighbor cells to measure the UL received signal qualityfrom UE's SRS transmission, the serving cell should share the UE's SRSconfiguration with its neighbor cells. Alternative to SRS, physical ULcontrol channel (PUCCH) transmission of the UE may be used. In generalany UE specific UL transmission can be used for UL signal qualitymeasurement.

Calculating the combined metric of equation 15 provides an advantage oflimiting the number of measurement reports from the UEs by setting theA3 (UE) threshold appropriately. Also, basing a decision whether toperform inter-cell coordination on whether the combined metric ofequation 15 exceeds a serving cell threshold should eliminate performingan inter-cell coordination procedure when that performance would notresult in significant coordination gain, thereby conserving processingresources.

FIG. 9 is a block diagram of a base station 14 that is configured tocompute the combined metric of equation 15 and compare it to a servingcell threshold to determine whether to perform an inter-cellcoordination procedure. The base station 14 has a communicationinterface 54, a memory 56 and computational circuitry 58. Thecommunication interface 54 has a transmitter 62 that is configured tosend a UE threshold to a UE 16 that is used by the UE 15 to compute theUE event metric and determine whether to send a measurement report. Thecommunication interface 54 also has a receiver 64 configured to receivea UE signal quality measurement from the UE 16.

The memory 56 is configured to store a combined metric 66 computed atthe base station 14, a UE signal quality measurement report receivedfrom the UE 16 from which the UE signal quality metric 58 is calculatedand/or stored, and a serving cell threshold 70 to which the combinedmetric is compared. The memory may also be configured to store a UEthreshold to be compared to the UE signal quality metric by the UE 16.The computational circuitry 58 includes a signal to interference ratio(SIR) estimator 72 configured to estimate an SIR experienced by the UEbased on received uplink signal quality measurements. The computationalcircuitry 58 also includes the serving cell metric calculator 20configured to calculate the serving cell metric and combined metric 66based on the estimated SIR, the UE signal quality metric and a scalingparameter. A metric comparator 74 compares the combined metric 66 to theserving cell threshold to determine whether to implement an inter-cellcoordination procedure. When the combined metric 66 exceeds the servingcell threshold, the base station may make a decision to proceed with aninter-cell coordination procedure.

FIG. 10 is a block diagram of an embodiment of a base station 14 thatuses a processor 76 to execute software instructions of a plurality ofsoftware modules stored in the memory 56. The software modules include aSIR estimator module 78 that includes instructions that, when executedby the processor 76, cause the processor to estimate the SIR of the UEbased on received uplink signal quality measurements. The metriccalculator module 80 has instructions that, when executed by theprocessor 76, cause the processor to calculate the combined metric 66based on the estimated SIR, the UE signal quality metric and the scalingparameter, as described above. The metric comparator module 82 hasinstructions that, when executed by the processor 76, cause theprocessor to compare the combined metric 66 to the serving cellthreshold. When the combined metric 66 exceeds the serving cellthreshold, the base station 14 may determine that an inter-cellcoordination procedure will likely improve communications with a UE 16in comparison with an absence of execution of the inter-cellcoordination procedure.

FIG. 11 is a flowchart of an exemplary process performed by a basestation 14 as described above with reference to FIGS. 9 and 10 forcomputing a combined metric and comparing the combined metric to aserving cell threshold to determine whether to perform an inter-cellcoordination procedure. The serving cell of the base station 14 receivesthe measurements of uplink signal quality of the UE 16 from neighborcells. The neighbor cells may be served by the same base station thatserves the serving cell (block S116). The base station 14 calculates thecombined metric 66 based on the received uplink signal qualitymeasurements and the measurement reports received from the UE (blockS118). The calculated combined metric is compared to a serving cellthreshold to determine whether to implement an inter-cell coordinationprocedure (block S120). By not implementing an inter-cell coordinationprocedure when the comparison indicates that such inter-cellcoordination procedure would not be beneficial, resources are conserved.

FIG. 12 is a more detailed flow diagram of an exemplary process forcomputing a metric and comparing the metric to a threshold to determinewhether to perform an inter-cell coordination procedure. The servingcell of the base station 14 sends a broadcast or RRC message to a UE 16indicating an event to the UE 16 to determine whether to send ameasurement report (S121). The signal to the UE 16 may include a UEthreshold and a number, N, of neighbor cells whose signal qualities areto be measured. The UE 16 measures signal qualities (such as RSRPs) forthe N neighbor cells (S122). The UE 16 computes the difference betweenthe signal qualities of the serving cell and a neighbor cell that is themost dominant interfering cell (S124) as follows:A=(R _(l) _(dB) −R ₀ _(dB) )This difference computed in S124 is compared to a UE threshold (S126),which may be received from the base station of the serving cell, todetermine whether to send a measurement report:A>η ₁When the UE threshold is exceeded, a measurement report that includesthe received signal qualities with respect to the serving cell andneighbor cells is sent to the serving cell (S128). The UE threshold η₁may be set to regulate a ratio of a number of UE measurement reports toa total of UEs in the serving cell and interfering cells. The servingcell and the neighbor cells may also monitor the UL transmissions fromthe UE 16. For example, the UE 16 transmits its assigned SRS or PUCCHover the assigned resources (S130). The SRS signal quality measured bythe neighbor cells and the serving cell are used by the serving cell toestimate a signal to interference ratio (SIR) (S132) as follows:B=S ₀ _(dB) −10 log₁₀(Σ_(i=1) ^(N−1) S _(i))The combined metric 66, that includes the difference computed by the UE16 in S124 and the SIR computed by the base station 14 in S132, iscomputed and compared to a serving cell threshold (S134) as follows:αA+(1−α)B>ηwhere α is the scaling parameter and is a serving cell threshold. Thescaling parameter α may be set to achieve one of enablement ofcoordination gain for UEs experiencing degraded coverage and increasedsystem capacity. If the combined metric 66 exceeds the serving cellthreshold, a decision is made to proceed with an inter-cell coordinationprocedure for the UE 16. Note that in some embodiments, the scalingfactor of the first term A may be independent of the scaling factor ofthe second term B. Note also that the serving cell threshold η may becalculated to determine when execution of the inter-cell coordinationprocedure will likely improve communications with the UE in comparisonwith an absence of execution of the inter-cell coordination procedure.

The inter-cell coordination procedure just described with reference toFIG. 12 has at least several advantages. First, no non-standardmodifications need to be made at the UE 16. Second, the number ofmeasurement reports from UEs 16 is reduced, which conserves bandwidth.Third, inter-cell coordination procedures are only performed for a UE 16if the performance is likely to achieve coordination gain, whichconserves processing resources.

Note also that inter-cell coordination procedure just described can beextended to the cells of more than one base station 14 by communicatingthe uplink signal quality measured by a cell of one base station 14 b tothe base station 14 a of the serving cell C1 via an X2 interface orproprietary interface between the base stations 14.

The present invention can be realized in hardware, or a combination ofhardware and software. Any kind of computing system, or other apparatusadapted for carrying out the methods described herein, is suited toperform the functions described herein. A typical combination ofhardware and software could be a specialized computer system, having oneor more processing elements and a computer program stored on a storagemedium that, when loaded and executed, controls the computer system suchthat it carries out the methods described herein. The present inventioncan also be embedded in a computer program product, which comprises allthe features enabling the implementation of the methods describedherein, and which, when loaded in a computing system is able to carryout these methods. Storage medium refers to any volatile or non-volatiletangible storage device.

Computer program or application in the present context means anyexpression, in any language, code or notation, of a set of instructionsintended to cause a system having an information processing capabilityto perform a particular function either directly or after either or bothof the following a) conversion to another language, code or notation; b)reproduction in a different material form.

It will be appreciated by persons skilled in the art that the presentinvention is not limited to what has been particularly shown anddescribed herein above. In addition, unless mention was made above tothe contrary, it should be noted that all of the accompanying drawingsare not to scale. A variety of modifications and variations are possiblein light of the above teachings without departing from the scope of thefollowing claims.

What is claimed is:
 1. A method performed at a user equipment, UE, fordetermining whether to send a measurement report to a serving cell, themethod comprising: performing received signal quality measurements ofthe serving cell and a plurality of neighboring cells; calculating a UEmetric based on a sum of the received signal quality measurements of aplurality of interfering cells and based on a scaling parameter; andcomparing the calculated UE metric to a UE threshold to determinewhether to send the measurement report to the serving cell.
 2. Themethod of claim 1, further comprising determining a dominant interferingcell based on the performed receive signal quality measurements.
 3. Themethod of claim 2, wherein determining the dominant interfering cellcomprises finding a neighbor cell with the best received signal qualityamong all the interfering cells.
 4. The method of claim 1, furthercomprising receiving the scaling parameter at the UE from a servingcell.
 5. The method of claim 1, further comprising receiving the UEthreshold at the UE from the serving base station.
 6. The method ofclaim 1, wherein performing the received signal quality measurementcomprises measuring a reference signal received power, RSRP.
 7. Themethod of claim 1, wherein performing the received signal qualitymeasurement comprises measuring a reference signal received quality,RSRQ.
 8. The method of claim 1, wherein the UE metric is calculatedbased on the received signal quality measurements of the plurality ofinterfering cells by calculating: a first difference between a receivedsignal quality of a serving cell and a received signal quality of adominant interfering cell; and a second difference between the receivedsignal quality of the serving cell and a combined receive signal qualityaggregated from the plurality of interfering cells.
 9. The method ofclaim 8, wherein the UE metric is further calculated by calculating analgebraic sum of the first difference multiplied by the scalingparameter and the second difference multiplied by one minus the scalingparameter.
 10. The method of claim 8, wherein the first difference andthe second difference are expressed in logarithmic scale.
 11. The methodof claim 8, wherein the combined received signal quality is measured asthe linear sum of reference signal received powers, RSRP, measured withrespect to all neighbor cells operating on a same carrier frequency asthe serving cell.
 12. The method of claim 8, wherein the combinedreceived signal quality is measured as the received signal strengthindicator, RSSI.
 13. The method of claim 1, wherein configurationinformation of the interfering cells is received by the UE from theserving cell.
 14. The method of claim 1, wherein the metric iscalculated based on the received signal quality measurements of theplurality of interfering cells by calculating: a first differencebetween a received signal quality of a serving cell and a combinedreceived signal quality of a predefined number of dominant interferingcells; and a second difference between the received signal quality ofthe serving cell and a combined receive signal quality aggregated fromthe plurality of interfering cells.
 15. The method of claim 14, whereinthe predefined number of dominant interfering cells is set by theserving cell.
 16. The method of claim 1, further comprising sending themeasurement report when the UE metric exceeds the UE threshold.
 17. Auser equipment, UE, configured to determine whether to send ameasurement report to a serving cell, the UE comprising: a communicationinterface configured to transmit a measurement report to the servingcell and to receive a scaling parameter and a UE threshold from theserving cell; a memory configured to store the scaling parameter and theUE threshold received from the serving cell; and computational circuitryin operative communication with the memory and the communicationinterface, the computational circuitry configured to: perform receivedsignal quality measurements of a plurality of neighboring cells;determine which of the neighboring cells is a dominant interfering sellbased on the performed signal quality measurements; calculate a UEmetric based on a sum of measured signal qualities of the neighboringcells, including the signal quality of the dominant interfering cell,and the received scaling parameter; and compare the UE metric to the UEthreshold to determine whether to send the measurement report to theserving cell using the communication interface.
 18. The UE of claim 17,wherein calculating the UE metric based on the measured signal qualitymeasurements includes: calculating a first comparison of a signalquality of the serving cell and a signal quality of a dominantinterfering cell to determine a first difference; calculating a secondcomparison of the signal quality of the serving cell to a combination ofsignal qualities from a plurality of interfering neighboring cells todetermine a second difference; and compare the first difference to thesecond difference.
 19. The UE of claim 17, wherein the UE metriccalculated by the UE is given by:$\beta_{dB} = {{\alpha\left( {R_{l_{dB}} - R_{o_{dB}}} \right)} + {\left( {1 - \alpha} \right)\left( {R_{o_{dB}} - {10\;{\log_{10}\left( {\sum\limits_{i = 1}^{N - 1}R_{i}} \right)}}} \right)}}$where α is the scaling parameter, R_(ldB) is the signal quality of thedominant interfering cell, R_(odB) is the signal quality of the servingcell, and R_(i) is the signal quality of the dominant interfering cell.20. The UE of claim 17, wherein the computational circuitry is furtherconfigured to cause the communication interface to send the measurementreport to the serving cell if the UE metric is more than the UEthreshold.
 21. A user equipment, UE, comprising: a communicationinterface configured to transmit a measurement report to a serving celland to receive a scaling parameter and a UE threshold from the servingcell; a processor configured to execute software instructions; a memoryin communication with the processor, the memory configured to store: thescaling parameter; the UE threshold; and a plurality of softwaremodules, including: an interference cell determiner module havinginstructions that, when executed by the processor, cause the processorto: perform received signal quality measurements of a plurality ofneighboring cells; and determine cells that are interfering cells basedon the performed signal quality measurements; a metric calculator modulehaving instructions, that when executed by the processor, cause theprocessor to: calculate a first value based on a first scalingparameter, a signal quality of a serving cell, and a signal quality of adominant interfering cell; calculate a second value based on a secondscaling parameter, the signal quality of the serving cell and a sum ofthe signal qualities of the interfering cells; and calculate a sum ofthe first value and the second value; and a metric comparator modulehaving instructions that, when executed by the processor, cause theprocessor to compare the sum to the UE threshold to determine whether tosend a measurement report from the UE.
 22. The UE of claim 21, whereinthe processor is further instructed by the instructions of the metriccalculator module to calculate the first value as the first scalingparameter times a ratio of the signal quality of the serving cell to thesignal quality of the dominant interfering cell.
 23. The UE of claim 21,wherein the processor is configured to calculate the second value as thesecond scaling parameter times a ratio of the signal quality of theserving cell to the sum of signal qualities of interfering cells. 24.The UE of claim 21, wherein the second scaling parameter is set to oneminus the first scaling parameter.